Quick start guide

MLJAR Studio is an integrated development environment (IDE) designed for building and working with Python notebooks. It offers a environment for data scientists, analysts, and machine learning practitioners. Upon the first launch, it automatically installs the necessary Python environment, ensuring a smooth setup.

Coding should be piece of cake 🍰! MLJAR Studio has Piece of Code extension. This library of interactive code snippets is integrated with the Python session, allowing users to quickly leverage ready-to-use code pieces for common tasks such as data exploration, data wrangling, and machine learning.

MLJAR Studio includes an AI Assistant that provides real-time support and guidance. This feature enables both beginners and experienced developers to work more efficiently and focus on creating high-quality solutions.

The best thing about MLJAR Studio is that it runs locally, providing users with full control over their code and data. It allows users to create *.ipynb files that are portable and can be easily reused across any IDE or platform.

Quick links

• Get MLJAR Studio

  Open MLJAR Platform and download MLJAR Studio installer for your operating system.

• Install instructions

  Check install instructions for MLJAR Studio. Install it locally on your machine.

• New notebook

  First steps to on how to create a new notebook in MLJAR Studio.

• Support

  Please feel free to contact us if you have questions or need any help.

Code recipes

Available recipes are grouped in cookbooks based on subject. They are listed below. Please select cookbook to check Python code recipes.

• Python

• Markdown

• Read data

• Write data

• Data wrangling

• Explore data

• Scikit-learn

• LightGBM

• MLJAR AutoML

• Postgresql

• Images Operations

• OpenAI

• Ollama

• PDF Operations

• Google Sheets

• Http requests